{"product_id":"understanding-regression-analysis-a-conditional-distribution-approach","title":"Understanding Regression Analysis: A Conditional Distribution Approach","description":"\u003cp\u003e\u003cstrong\u003eBook Details:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBook Title:\u003c\/strong\u003e \u003cem\u003eRegression Models and Methods: A Unified Approach\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Andrea L. Arias\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e CRC Press\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLanguage:\u003c\/strong\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 9780367493516\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePages:\u003c\/strong\u003e 514\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eRelease Date:\u003c\/strong\u003e 06-05-2022\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Dimensions:\u003c\/strong\u003e 10.0 x 7.0 x 1.1 inches\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAbout the Book:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eRegression Models and Methods: A Unified Approach\u003c\/em\u003e offers a comprehensive guide to a range of regression applications, covering classical models, ANOVA models, generalized models, neural networks, and decision trees. The book unifies these diverse techniques under a common framework: the conditional distribution model.\u003c\/p\u003e\n\u003cp\u003eThis text provides an in-depth exploration of models including Poisson, Negative Binomial, logistic, and survival regression, offering practical insights into how they can be applied to real-world data analysis. It is particularly valuable for students, researchers, and practitioners working in statistics, data science, and related fields who wish to deepen their understanding of regression techniques and their diverse applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eCovers a wide array of regression models and methods in one comprehensive volume.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eExplores classical regression, ANOVA, generalized models (Poisson, Negative Binomial, logistic, survival), neural networks, and decision trees.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUnifies different approaches under the conditional distribution model, enhancing understanding and application.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eProvides a solid foundation for analyzing and interpreting complex data sets.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAudience:\u003c\/strong\u003e\u003cbr\u003eThis book is ideal for students, researchers, and professionals in statistics, data science, and any field that uses regression analysis for data modeling and interpretation. It serves as a valuable resource for those seeking a unified approach to different regression techniques.\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":49955208134960,"sku":"Sarat_9780367493516","price":3870.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/crc-press-book-default-title-understanding-regression-analysis-a-conditional-distribution-approach-41334877421872.jpg?v=1775950774","url":"https:\/\/www.retailmaharaj.com\/bn\/products\/understanding-regression-analysis-a-conditional-distribution-approach","provider":"Retail Maharaj","version":"1.0","type":"link"}